Main content
Artificial IntelligenceMinor
Hours To Complete | 21+ |
---|---|
Courses Required | 7 |
Department Contact |
Requirements
CS 110 Computer Science Fundamentals
CS 211 Intro to Artificial Intelligence
CS 312 Computing, AI, Ethics, and Society
CS 323 Machine Learning Applications (or QTM 347 Causal Inference & ML or CS 334 Machine Learning)
CS/QTM/LING 329 Computational Linguistics (or QTM 340 Data Science with Text or SOC 446 Big/Small Data & Visualization)
PLUS 2 Electives chosen from the list below
(a) Computer Science:
- CS 314: Information Visualization (Offered every Fall semester (as CS 485 special
topics in 2021, 2022)) - CS 316: Human Computer Interaction (Offered every Spring semester (as CS 485
special topics in 2021, 2022))
(b) Business:
- FIN 430: Foundations of Fin Tech
- ISOM 352: Applied Data Analytics with Coding
- ISOM 456: Introduction to Business Data Analytics
- ISOM 475: Data Visualization
- ACT 499R: Data Analytics for Financial Business Decisions
(c) Economics:
- ECON 315: Economics and Psychology
- ECON 320: Econometrics
(d) Psychology:
- PSYC 215 Cognition
- PSYC 250 Thought and Intelligence
- PSYC 383 Neuropsychology and Cognition
- PSYC 385 Brain and Language
(e) NBB:
- NBB 280 Introduction to Neuroethics
- NBB 480 Applied Neuroethics
(f) QTM:
- QTM 310 Data Justice
- QTM 315 Game Theory
(g) Sociology:
- SOC 327 Language and Symbols of Media
(h) Film and Media Studies:
- FILM 302 Digital and New Media Theory
- FILM 380 Video Games
(i) Philosophy:
- PHIL 311 Existence and Phenomenology
- PHIL 318 Business Ethics
- PHIL 415 Ethics
(j) English:
- ENGRD 201 Multimedia Journalism
- ENG 363 Discourse Analysis
- ENG 367 Writing for Games
- ENG 370 Intro to Digital Humanities
- ENG 380 Digital Rhetoric and Disinformation
(k) Mathematics:
- MATH 361, 362: Mathematical Statistics I, II
(l) Chemistry:
- CHEM 470: Special topics (Machine Learning for Chemistry, Drug Discovery)
Prerequisites
MQR GER or equivalent e.g. MATH111 or QTM100 (typically 3 credit hours)